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DBMS > GeoMesa vs. Graphite vs. Milvus vs. ObjectBox

System Properties Comparison GeoMesa vs. Graphite vs. Milvus vs. ObjectBox

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGraphite  Xexclude from comparisonMilvus  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA DBMS designed for efficient storage of vector data and vector similarity searchesLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelSpatial DBMSTime Series DBMSVector DBMSObject oriented DBMS
Vector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score5.19
Rank#62  Overall
#4  Time Series DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Websitewww.geomesa.orggithub.com/­graphite-project/­graphite-webmilvus.iogithub.com/­objectbox
objectbox.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlgraphite.readthedocs.iomilvus.io/­docs/­overview.mddocs.objectbox.io
DeveloperCCRi and othersChris DavisObjectBox Limited
Initial release2014200620192017
Current release5.0.1, July 20242.4.4, May 20244.0 (May 2024)
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0Bindings are released under Apache 2.0 infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageScalaPythonC++, GoC and C++
Server operating systemsLinux
Unix
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyVector, Numeric and Stringyes, plus "flex" map-like types
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesnonoyes
SQL infoSupport of SQLnononono
APIs and other access methodsHTTP API
Sockets
RESTful HTTP APIProprietary native API
Supported programming languagesJavaScript (Node.js)
Python
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernoneData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layernoneBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesno
User concepts infoAccess controlyes infodepending on the DBMS used for storagenoRole based access control and fine grained access rightsyes
More information provided by the system vendor
GeoMesaGraphiteMilvusObjectBox
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GeoMesaGraphiteMilvusObjectBox
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